domino-modeling-assistant

What problem does it solve?

This Skill removes the friction of running and managing model development workflows on Domino by enabling AI coding assistants to create, run, and monitor Domino jobs, handle project files, and ensure reproducibility without manual terminal steps.

Core Features & Use Cases

• MCP integration & environment detection: Automatically detect Domino workspace vs laptop and configure authentication, project owner, and project name.
• Job orchestration and results retrieval: Create and run Domino jobs, monitor status, fetch stdout and artifacts, and open experiment links when available.
• DFS vs Git file handling and experiment tracking: Sync files to DFS or require git commits before job execution, and instrument training runs with MLflow for reproducible experiments.
• Use Case: Ask the assistant to run a data analysis script in your Domino project, return the summary output, save artifacts to the project, and log the run to MLflow.

Quick Start

Run the test_domino.py script as a Domino job and show me the stdout output and any saved artifacts.